Triple
T4786768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feria Internacional del Caballo Texcoco |
E106497
|
entity |
| Predicate | typicalStartTimeOfYear |
P58421
|
FINISHED |
| Object | March |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: March | Statement: [Feria Internacional del Caballo Texcoco, typicalStartTimeOfYear, March]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStartTimeOfYear Context triple: [Feria Internacional del Caballo Texcoco, typicalStartTimeOfYear, March]
-
A.
typicalStartSeason
Indicates the season during which something (such as an activity, event, or phenomenon) usually begins.
-
B.
typicalSeasonTiming
Indicates the usual time period or season during which something normally occurs or is expected to take place.
-
C.
typicalStandardTimeStartMonth
Indicates the month in which a region’s standard (non-daylight-saving) time typically begins each year.
-
D.
typicalStartPeriod
Indicates the usual or standard time period during which something begins or is initiated.
-
E.
seasonTypicalStartMonth
Indicates the calendar month in which a particular season usually begins.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65d8f9d881909c24340b8dc6a104 |
completed | March 20, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:22 p.m.